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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
    MQ
ArXivPDFHTML

Papers citing "XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks"

36 / 836 papers shown
Title
Deep Forest
Deep Forest
Zhi Zhou
Ji Feng
18
1,003
0
28 Feb 2017
ShaResNet: reducing residual network parameter number by sharing weights
ShaResNet: reducing residual network parameter number by sharing weights
Alexandre Boulch
34
26
0
28 Feb 2017
RNN Decoding of Linear Block Codes
RNN Decoding of Linear Block Codes
Eliya Nachmani
Elad Marciano
D. Burshtein
Yair Be’ery
AI4CE
80
87
0
24 Feb 2017
The Power of Sparsity in Convolutional Neural Networks
The Power of Sparsity in Convolutional Neural Networks
Soravit Changpinyo
Mark Sandler
A. Zhmoginov
27
132
0
21 Feb 2017
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
337
1,049
0
10 Feb 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Zhaowei Cai
Xiaodong He
Jian Sun
Nuno Vasconcelos
MQ
50
504
0
03 Feb 2017
Scaling Binarized Neural Networks on Reconfigurable Logic
Scaling Binarized Neural Networks on Reconfigurable Logic
Nicholas J. Fraser
Yaman Umuroglu
Giulio Gambardella
Michaela Blott
Philip H. W. Leong
Magnus Jahre
K. Vissers
MQ
20
57
0
12 Jan 2017
Two-Bit Networks for Deep Learning on Resource-Constrained Embedded
  Devices
Two-Bit Networks for Deep Learning on Resource-Constrained Embedded Devices
Wenjia Meng
Zonghua Gu
Ming Zhang
Zhaohui Wu
29
36
0
02 Jan 2017
Hardware for Machine Learning: Challenges and Opportunities
Hardware for Machine Learning: Challenges and Opportunities
Vivienne Sze
Yu-hsin Chen
Joel S. Einer
Amr Suleiman
Zhengdong Zhang
27
77
0
22 Dec 2016
Wide-Slice Residual Networks for Food Recognition
Wide-Slice Residual Networks for Food Recognition
N. Martinel
G. Foresti
C. Micheloni
36
201
0
20 Dec 2016
Understanding the Impact of Precision Quantization on the Accuracy and
  Energy of Neural Networks
Understanding the Impact of Precision Quantization on the Accuracy and Energy of Neural Networks
S. Hashemi
Nicholas Anthony
Hokchhay Tann
R. I. Bahar
Sherief Reda
MQ
HAI
11
117
0
12 Dec 2016
Towards the Limit of Network Quantization
Towards the Limit of Network Quantization
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
22
191
0
05 Dec 2016
Trained Ternary Quantization
Trained Ternary Quantization
Chenzhuo Zhu
Song Han
Huizi Mao
W. Dally
MQ
92
1,035
0
04 Dec 2016
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
Yaman Umuroglu
Nicholas J. Fraser
Giulio Gambardella
Michaela Blott
Philip H. W. Leong
Magnus Jahre
K. Vissers
MQ
53
985
0
01 Dec 2016
Training Bit Fully Convolutional Network for Fast Semantic Segmentation
Training Bit Fully Convolutional Network for Fast Semantic Segmentation
He Wen
Shuchang Zhou
Zhe Liang
Yuxiang Zhang
Dieqiao Feng
Xinyu Zhou
Cong Yao
MQ
SSeg
42
10
0
01 Dec 2016
Deep Cuboid Detection: Beyond 2D Bounding Boxes
Deep Cuboid Detection: Beyond 2D Bounding Boxes
Debidatta Dwibedi
Tomasz Malisiewicz
Vijay Badrinarayanan
Andrew Rabinovich
32
18
0
30 Nov 2016
LCNN: Lookup-based Convolutional Neural Network
LCNN: Lookup-based Convolutional Neural Network
Hessam Bagherinezhad
Mohammad Rastegari
Ali Farhadi
18
90
0
20 Nov 2016
Fast Video Classification via Adaptive Cascading of Deep Models
Fast Video Classification via Adaptive Cascading of Deep Models
Haichen Shen
Seungyeop Han
Matthai Philipose
Arvind Krishnamurthy
36
78
0
20 Nov 2016
Loss-aware Binarization of Deep Networks
Loss-aware Binarization of Deep Networks
Lu Hou
Quanming Yao
James T. Kwok
MQ
32
220
0
05 Nov 2016
Accelerating Deep Convolutional Networks using low-precision and
  sparsity
Accelerating Deep Convolutional Networks using low-precision and sparsity
Ganesh Venkatesh
Eriko Nurvitadhi
Debbie Marr
36
135
0
02 Oct 2016
Quantized Neural Networks: Training Neural Networks with Low Precision
  Weights and Activations
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara
Matthieu Courbariaux
Daniel Soudry
Ran El-Yaniv
Yoshua Bengio
MQ
54
1,850
0
22 Sep 2016
Ternary Neural Networks for Resource-Efficient AI Applications
Ternary Neural Networks for Resource-Efficient AI Applications
Hande Alemdar
V. Leroy
Adrien Prost-Boucle
F. Pétrot
24
204
0
01 Sep 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
123
3,669
0
31 Aug 2016
Recurrent Neural Networks With Limited Numerical Precision
Recurrent Neural Networks With Limited Numerical Precision
Joachim Ott
Zhouhan Lin
Yanzhe Zhang
Shih-Chii Liu
Yoshua Bengio
MQ
40
77
0
24 Aug 2016
Local Binary Convolutional Neural Networks
Local Binary Convolutional Neural Networks
Felix Juefei Xu
Vishnu Boddeti
Marios Savvides
MQ
32
251
0
22 Aug 2016
Local Feature Detectors, Descriptors, and Image Representations: A
  Survey
Local Feature Detectors, Descriptors, and Image Representations: A Survey
Yusuke Uchida
45
13
0
28 Jul 2016
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
Michael Iliadis
L. Spinoulas
Aggelos K. Katsaggelos
39
74
0
12 Jul 2016
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN
  Acceleration
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration
Renzo Andri
Lukas Cavigelli
D. Rossi
Luca Benini
23
196
0
17 Jun 2016
Structured Convolution Matrices for Energy-efficient Deep learning
Structured Convolution Matrices for Energy-efficient Deep learning
R. Appuswamy
T. Nayak
John V. Arthur
S. K. Esser
P. Merolla
J. McKinstry
T. Melano
M. Flickner
D. Modha
38
11
0
08 Jun 2016
Deep neural networks are robust to weight binarization and other
  non-linear distortions
Deep neural networks are robust to weight binarization and other non-linear distortions
P. Merolla
R. Appuswamy
John V. Arthur
S. K. Esser
D. Modha
OOD
MQ
25
96
0
07 Jun 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural
  Networks
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks
Philipp Gysel
29
127
0
20 May 2016
Ternary Weight Networks
Ternary Weight Networks
Fengfu Li
Bin Liu
Xiaoxing Wang
Bo Zhang
Junchi Yan
MQ
43
522
0
16 May 2016
Fixed Point Quantization of Deep Convolutional Networks
Fixed Point Quantization of Deep Convolutional Networks
D. Lin
S. Talathi
V. Annapureddy
MQ
44
812
0
19 Nov 2015
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and
  Tracking
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking
Longyin Wen
Dawei Du
Zhaowei Cai
Zhen Lei
Ming-Ching Chang
H. Qi
Jongwoo Lim
Ming-Hsuan Yang
Siwei Lyu
VOT
41
565
0
13 Nov 2015
Mining Mid-level Visual Patterns with Deep CNN Activations
Mining Mid-level Visual Patterns with Deep CNN Activations
Yao Li
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
35
54
0
21 Jun 2015
Computational Cost Reduction in Learned Transform Classifications
Computational Cost Reduction in Learned Transform Classifications
E. Machado
C. Miosso
R. V. Borries
Murilo Coutinho
P. Berger
Thiago Marques
R. Jacobi
38
3
0
26 Apr 2015
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